CN111771370A - Noise cancellation device, noise cancellation method, and still detection method - Google Patents

Noise cancellation device, noise cancellation method, and still detection method Download PDF

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CN111771370A
CN111771370A CN201880089850.XA CN201880089850A CN111771370A CN 111771370 A CN111771370 A CN 111771370A CN 201880089850 A CN201880089850 A CN 201880089850A CN 111771370 A CN111771370 A CN 111771370A
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frame
noise
image data
input image
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CN111771370B (en
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谷川悟
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Sothink Corp
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Abstract

A noise cancellation device (1) is provided with a noise cancellation unit (10), a data compression unit (13), a data decompression unit (14), a still detection unit (16), and an output selection unit (20), wherein when a first frame and a second frame thereafter exist, in the second frame, the noise cancellation unit (10) performs noise cancellation on input image data of the second frame based on the input image data of the second frame and the decompressed data of the first frame to generate noise cancellation data, and in the second frame, the output selection unit (20) selects the input image data as output image data when detecting that the input image data is still image data, and selects the noise cancellation data as output image data when detecting that the input image data is not still image data.

Description

Noise cancellation device, noise cancellation method, and still detection method
Technical Field
The present disclosure relates to a noise canceling device, a noise canceling method, and a still detection method.
Background
In recent years, the amount of data for processing video signals has been increasing with the increase of display devices such as 4K and 8K. Accordingly, in a video signal processing technique using a frame delay in which a signal is once held in a frame memory, a technique of compressing a video signal is used in order to reduce a bandwidth required for processing the video signal (see, for example, patent document 1). For example, as a technique for compressing a video signal, a bit compression technique (non-reciprocal compression) is used.
(Prior art document)
(patent document)
Patent document 1: japanese patent laid-open publication No. 2005-318251
However, the bit compression technique has a problem that when a compressed video is restored to the original bit precision, the data does not match the data before compression, and therefore, when a still image is included in the video signal, the still image flickers or an image different from the still image is output, which gives a sense of incongruity to a viewer.
Disclosure of Invention
Accordingly, an object of the present disclosure is to provide a noise canceling device and a noise canceling method capable of displaying a still image without a sense of incongruity.
In order to solve the above problem, a noise canceller according to an aspect of the present disclosure performs noise cancellation on input image data, and includes: a noise removal unit configured to perform noise removal on the input image data for each frame to generate noise-removed data; a data compression unit configured to compress the noise-removed data to generate compressed data; a data decompression unit configured to decompress the compressed data to generate decompressed data; a still detection unit that detects whether or not the input image data is still image data; and an output selecting unit that selects either the input image data or the noise removal data as output image data based on a detection result of the still detecting unit, wherein when there is a first frame and a second frame subsequent to the first frame, the noise removing unit performs noise removal on the input image data of the second frame based on the input image data of the second frame and the decompressed data of the first frame to generate the noise removal data in the second frame, and wherein when the input image data is detected to be still image data, the output selecting unit selects the input image data as the output image data, and when the input image data is detected not to be still image data, the output selecting unit selects the noise removal data, as the output image data.
According to this configuration, it is detected whether or not the input image data is still image data, and if the input image data is still image data, the input image data is output, and if the input image data is not still image data, the noise canceling data is output. Therefore, for data of a still image, data compression, data decompression, and noise removal are not performed, and the input data is output as it is, and therefore, a difference of data based on the processing of data compression, data decompression, and noise removal is not generated. Accordingly, a still image without a sense of incongruity can be displayed while suppressing the influence of the difference of the data.
Further, the stationary detection unit may include: a signal accumulation unit that accumulates a luminance signal included in the input image data for each of the frames; a comparison section that compares an accumulated value of the luminance signal in the second frame with an accumulated value of the luminance signal in the second frame; and a determination unit configured to determine, as the output image data, either the input image data or the noise-removed data based on a comparison result of the comparison unit.
According to this configuration, since the accumulated values of the luminance signals of the first frame and the subsequent second frame are compared, it is determined whether or not there is a difference in the compared accumulated values, and the still image can be accurately detected.
In order to solve the above problem, a noise canceller according to an aspect of the present disclosure performs noise cancellation on input image data, and includes: a noise removal unit configured to perform noise removal on the input image data for each frame to generate noise-removed data; a data compression unit configured to compress the noise-removed data to generate compressed data; a data decompression unit configured to decompress the compressed data to generate decompressed data; a still detection unit that detects whether or not the input image data is still image data; and an input selecting section that selects the input image data or the decompressed data as data input to the noise canceling section, based on a detection result of the still detecting section; in the case where there is a first frame and a second frame subsequent to the first frame, the noise cancellation unit performs noise cancellation on the input image data of the second frame based on the input image data of the second frame and the decompressed data of the first frame to generate the noise cancellation data in the second frame, and in the second frame, the input selection unit selects the input image data as the data to be input to the noise cancellation unit when it is detected that the input image data is still image data, and selects the decompressed data as the data to be input to the noise cancellation unit when it is detected that the input image data is not still image data.
According to this configuration, it is detected whether or not the input image data is still image data, and when the input image data is still image data, the noise is removed from the input image data and the input image data is output, and when the input image data is not still image data, the noise is removed from the decompressed data and the input image data is output. Therefore, data compression and data decompression are not performed on the data of the still image, and therefore, generation of a difference in data by the processing of data compression and data decompression can be suppressed. Accordingly, a still image without a sense of incongruity can be displayed.
Further, the stationary detection unit may include: a signal accumulation unit that accumulates a luminance signal included in the input image data for each of the frames; a comparison section that compares an accumulated value of the luminance signal in the first frame with an accumulated value of the luminance signal in the second frame; and a determination unit configured to determine, as data to be input to the noise removal unit, either the input image data or the noise removal data, based on a comparison result of the comparison unit.
According to this configuration, since the accumulated values of the luminance signals of the first frame and the subsequent second frame are compared, it is determined whether or not there is a difference in the compared accumulated values, and the still image can be accurately detected.
In addition, the comparison unit may determine that the input image data in the second frame is data of a still image when an accumulated value of the luminance signal in the first frame is the same as an accumulated value of the luminance signal in the second frame.
According to this configuration, since still image detection is performed using a luminance signal that is always included in the input image data, a still image can be easily and accurately detected.
The noise removing unit may mix the input image data of the second frame and the decompressed data of the first frame at a predetermined ratio to remove noise from the input image data of the second frame.
According to this configuration, since noise is removed by mixing the input image data of the second frame and the decompressed data of the first frame at a predetermined ratio, an image in which noise is removed and discomfort is reduced can be displayed.
In order to solve the above-described problem, a noise removing method according to one aspect of the present disclosure removes noise from input image data, generates noise-removed data by removing noise from the input image data of a first frame when the first frame and a second frame subsequent to the first frame exist, compresses the noise-removed data to generate compressed data, decompresses the compressed data to generate decompressed data, removes noise from the input image data of the second frame based on the input image data of the second frame and the decompressed data of the first frame in the second frame to generate the noise-removed data, detects whether or not the input image data is data of a still image, and outputs the input image data when the input image data is detected to be data of a still image, and outputting the noise removal data when it is detected that the input image data is not data of a still image.
According to this configuration, it is detected whether or not the input image data is still image data, and if the input image data is still image data, the input image data is output, and if the input image data is not still image data, the noise canceling data is output. Therefore, for data of a still image, data compression, data decompression, and noise removal are not performed, and the input data is output as it is, and therefore, a difference of data based on the processing of data compression, data decompression, and noise removal is not generated. Accordingly, a still image without a sense of incongruity can be displayed while suppressing the influence of the difference of the data.
In order to solve the above problem, a still detection method according to one aspect of the present disclosure accumulates a luminance signal included in input image data of a first frame, accumulates a luminance signal included in input image data of a second frame, and determines that the input image data in the second frame is still when an accumulated value of the luminance signal in the first frame is the same as an accumulated value of the luminance signal in the second frame.
According to this configuration, since the accumulated values of the luminance signals of the first frame and the subsequent second frame are compared, it is determined whether or not the compared accumulated values are the same, and the still image can be accurately detected. Still image detection is performed using a luminance signal that is always included in the input image data, and therefore a still image can be easily detected.
According to the present invention, it is possible to provide a noise canceling device, a noise canceling method, and a still detection method that can display a still image without a sense of incongruity.
Drawings
Fig. 1 is a block diagram showing the configuration of a noise canceller according to embodiment 1.
Fig. 2 is a diagram showing a configuration of a stationary detection unit of the noise canceling device according to embodiment 1.
Fig. 3A is a diagram showing the levels of luminance signals of successive frames when the input image data is data of a still image and includes noise.
Fig. 3B is a diagram showing the level of a luminance signal of a display image of the nth frame when the processing by the noise canceling device according to embodiment 1 is performed when the input image data is still image data and includes noise.
Fig. 4A is a diagram showing the levels of luminance signals of consecutive frames when the input image data is data of a moving image.
Fig. 4B is a diagram showing the level of the luminance signal of the display image of the nth frame when the processing by the noise canceling device according to embodiment 1 is performed when the input image data is moving image data.
Fig. 5A is a diagram showing the levels of luminance signals of successive frames when a difference in data occurs before and after compression and decompression processing when input image data is compressed and decompressed.
Fig. 5B is a diagram showing the levels of luminance signals of a display image of the nth frame when the processing by the noise canceling device according to embodiment 1 is performed when a difference in data occurs before and after the compression and decompression processing when the input image data is compressed and decompressed.
Fig. 5C is a diagram showing the levels of luminance signals of a display image of the N +1 th frame when the processing by the noise canceling device according to embodiment 1 is performed when a difference in data occurs before and after the compression and decompression processing when the input image data is compressed and decompressed.
Fig. 6 is a flowchart for explaining a processing procedure of the noise canceller according to embodiment 1.
Fig. 7 is a timing chart showing the operation of the noise canceller according to embodiment 1.
Fig. 8 is a flowchart showing a processing procedure of the noise canceling device according to the modification of embodiment 1.
Fig. 9 is a block diagram showing the configuration of the noise canceller according to embodiment 2.
Fig. 10 is a block diagram showing a configuration of a display device using a noise canceling device according to embodiment 1.
Fig. 11 is a block diagram showing the configuration of a video recording and reproducing apparatus using a noise canceling device according to embodiment 1.
Detailed Description
Hereinafter, embodiments of a noise canceling device and a noise canceling method according to the present disclosure will be described in detail with reference to the drawings as appropriate. In the following embodiments, the same reference numerals are attached to the substantially same structures, and the description thereof may be omitted.
The embodiments described below are all specific examples. The numerical values, shapes, materials, constituent elements, arrangement positions and connection forms of the constituent elements, steps, order of the steps, and the like shown in the following embodiments are merely examples, and do not limit the spirit of the present disclosure. Among the components of the following embodiments, components that are not described in the embodiments showing the highest concept will be described as arbitrary components. However, for example, the above detailed description may be omitted. For example, detailed descriptions of already known matters and repetitive descriptions of substantially the same configuration may be omitted. This is omitted to avoid unnecessary redundancy in the following description, which will be readily understood by those skilled in the art. In the following, the same or unchanged configurations will be described with the same reference numerals.
Also, the drawings and the following description are for the purpose of sufficiently understanding the present disclosure by those skilled in the art, and are not intended to limit the subject matter described in the embodiments by them.
(embodiment mode 1)
[1-1. Structure of noise canceller ]
First, the configuration of the noise canceller according to embodiment 1 will be described. Fig. 1 is a block diagram showing the configuration of a noise canceller according to embodiment 1. Fig. 2 is a diagram showing the configuration of the stationary detection unit 16 of the noise canceller 1 according to the present embodiment.
As shown in fig. 1, the noise canceling device 1 according to the present embodiment includes a noise canceling unit 10, a motion detecting unit 11, a data compressing unit 13, a data decompressing unit 14, a still detecting unit 16, and an output selecting unit 20. The noise cancellation device 1 is connected to a frame memory 2 provided outside the noise cancellation device 1. The noise removal unit 10 and the motion detection unit 11 are a cyclic Noise Reduction (NR) circuit for removing noise using a frame delay.
The noise canceller 10 is a processing unit that performs processing for canceling noise from the input image data Vi input to the noise canceller 1. The input image data Vi includes a luminance signal having luminance information for displaying an input image. The noise cancellation section 10 is implemented by, for example, a computer, a processor, or a circuit.
The noise removing unit 10 removes noise from the input image data Vi input to the noise removing device 1 by using a frame delay. That is, the noise canceller 10 mixes the input image data Vi of the current frame input to the noise canceller 1 with the decompressed data Vf of the previous frame decompressed by the data decompressor 14, thereby reducing the influence of noise on the output image data Vo of the current frame. The process of eliminating noise from the input image data Vi by the noise elimination unit 10 and the motion detection unit 11 is referred to as "enabling the NR effect", and the process of not eliminating noise from the input image data Vi is referred to as "disabling the NR effect".
More specifically, the noise canceller 10 outputs noise cancellation data Vn in which input image data Vi input to the noise canceller 1 and decompression data Vf decompressed by the data decompressor 14 are mixed at a predetermined ratio. Here, the predetermined ratio means that the noise cancellation data Vn satisfies,
and a coefficient K (0. ltoreq. K. ltoreq.1) of (1-K). times.vi + K. xvf. cndot. (formula 1). For example, when K is 0.5, Vn is 0.5 × Vi +0.5 × Vf, and data of the input image data Vi and the decompressed data Vf are mixed at the same ratio to be noise canceling data Vn.
The motion detection unit 11 is a detection unit that compares the decompressed data Vf decompressed by the data decompression unit 14 with a predetermined motion determination threshold value to detect whether or not the input image has motion.
In general motion detection, a motion of an image is detected based on a difference in signal levels between frames. Therefore, the smaller the difference of the signals between frames is, the higher the probability that the input signal is noise is, and the larger the difference of the signals between frames is, the higher the probability that the input signal is an image having motion is. Therefore, when the difference between the signals is small, it is determined that noise is included, and the image is determined to be a still image.
The motion detector 11 determines the value of the coefficient K based on the result of the motion detection, and outputs the determined value of the coefficient K to the noise canceller 10. Accordingly, the noise canceller 10 can output the output image data Vo from which the noise has been cancelled by mixing the input image data Vi and the decompressed data Vf at a predetermined ratio. The motion detection unit 11 may not cause the noise removal unit 10 to perform the noise removal process.
The data compression unit 13 is a processing unit disposed at a preceding stage of the frame memory 2 for reducing the storage capacity of the frame memory 2, and performs a process of compressing the input video signal. The compressed data compressed by the data compression unit 13 is input to and held in the frame memory 2.
The data decompression unit 14 is a processing unit that performs a process of decompressing the data compressed by the data compression unit 13. The decompressed data decompressed by the data decompression unit 14 is output to the noise elimination unit 10 and the motion detection unit 11.
As shown in fig. 2, the still detection unit 16 includes a luminance signal accumulation unit 16a, a comparison unit 16b, and a determination unit 16 c.
The luminance signal accumulation section 16a is, for example, a register, and is also a signal accumulation section that accumulates luminance signals for one frame from the input image data Vi 1. The accumulated luminance signal of one frame is held for each frame.
The comparison unit 16b is a processing unit that compares the integrated values of the luminance signals of successive frames. As will be described later, the comparison unit 16b compares the integrated value of the luminance signal of the current frame with the integrated value of the luminance signal of the previous frame when the integration of the luminance signal of the current frame in the luminance signal integration unit 16a is completed. The comparing unit 16b determines that the image of the current frame is a still image if the integrated value of the luminance signal of the current frame is the same as the integrated value of the luminance signal of the previous frame. Then, the comparing unit 16b determines that the image of the current frame is a moving image when the integrated value of the luminance signal of the current frame is different from the integrated value of the luminance signal of the previous frame.
The determination unit 16c is a processing unit that determines, based on the determination result of the comparison unit 16b, which data of the input image data Vi itself and the noise removal data Vn after the noise removal is to be selected as the output image data Vo by the output selection unit 20. When the comparison unit 16b determines that the image of the current frame is a still image, the determination unit 16c determines to cause the output selection unit 20 to output the input image data Vi. When the comparison unit 16b determines that the image of the current frame is a moving image, the determination unit 16c determines to cause the output selection unit 20 to output the noise canceling data Vn. The determination unit 16c outputs the result of the determination to the output selection unit 20.
The still image detection unit 16 may detect a still image from a signal other than the luminance signal. For example, the still detection unit 16 may be provided with an accumulation signal accumulation unit that accumulates other signals using at least a luminance signal such as an RGB signal or a YUV signal instead of the luminance signal accumulation unit 16a, and may accumulate and compare the other signals.
The output selector 20 is a selector that selects the output image data Vo output from the noise canceller 1 based on the detection result of the still detector 16. The output selector 20 is, for example, a switch for switching and selecting a signal path through which the input image data Vi is transmitted and a signal path through which the noise cancellation data Vn is transmitted.
When the still detection unit 16 detects that the input image data Vi is a still image, the output selection unit 20 selects a signal path so that the input image data Vi is output from the noise canceller 1 based on the output result from the determination unit 16c of the still detection unit 16. Accordingly, the noise cancellation device 1 outputs the input image data without the noise being cancelled as it is.
When the still detection unit 16 detects that the input image data Vi is not a still image, the output selection unit 20 selects a signal path so that the noise cancellation data Vn from which noise has been cancelled by the noise cancellation unit 10 in the previous frame is output from the noise cancellation device 1, based on the output result from the determination unit 16c of the still detection unit 16. Accordingly, the noise canceling device 1 outputs the noise canceling data Vn obtained by canceling the noise from the input image data Vi.
The frame memory 2 provided outside the noise canceller 1 is a memory for delaying an input video signal as a digital signal. For example, a general-purpose dram (dynamic random access memory) or the like may be used as the frame memory 2. The frame memory 2 may be a FIFO (First-In-First-Out function memory). The frame memory 2 is referred to as a field memory when performing inter-field processing. By using the frame memory 2, the noise cancellation device 1 functions as a loop filter that performs noise cancellation by delaying the input image signal by one frame.
The frame memory 2 is connected to a data compression unit 13 for compressing an input image signal at a preceding stage and to a data decompression unit 14 for decompressing compressed data at a subsequent stage.
Here, the processing of the noise canceling device 1 and the displayed image will be described for three cases (a) in which the input image data is still image data and includes noise, (b) in which the input image data is moving image data, and (c) in which a difference in data occurs before and after the compression and decompression processing when the input image data is compressed and decompressed.
First, (a) a case where input image data is data of a still image and includes noise is described. Fig. 3A is a diagram showing the levels of luminance signals of successive frames when the input image data is data of a still image and includes noise. Fig. 3B is a diagram showing the level of a luminance signal of a display image of the nth frame when the processing by the noise canceling device according to embodiment 1 is performed when the input image data is still image data and includes noise.
The numerical values shown in fig. 3A and 3B show the levels of the luminance signals. Fig. 3A and 3B show unit regions (for example, one pixel) of (1) to (5). That is, fig. 3A and 3B show the levels of signal luminance of each of the unit regions (1) to (5). And, the nth frame shows the current frame, the N-1 th frame shows a previous frame of the current frame, and the N +1 th frame shows a next frame of the current frame.
In fig. 3A, the levels of signal luminance for unit areas (1) to (5) of the N-1 th frame, the N-th frame, and the N +1 th frame are all 100 except for the unit area (3) of the N-th frame. Therefore, it is predicted that the input image data is data showing a still image from the continuity of the frames and the continuity of the levels of the luminance signals of the respective frames. In this case, as shown in fig. 3A, the level of the luminance signal in the unit region (3) of the nth frame is 120, and it can be predicted that noise is included.
Then, the noise cancellation device 1 performs noise cancellation processing assuming that K is 0.5 in (equation 1). Accordingly, in the nth frame of the unit region (3), as shown in fig. 3B, as the output signal (NR output) after noise removal, an image is displayed at the level 110 of the luminance signal which is the average of the luminance signal level 120 including noise and the luminance signal level 100 not including noise. Since the other unit regions (1), (2), (4), and (5) do not include noise, an image is displayed at a level of 100 of the luminance signal.
Next, a case (b) where the input image data is moving image data will be described. Fig. 4A is a diagram showing the levels of luminance signals of consecutive frames when the input image data is data of a moving image. Fig. 4B is a diagram showing the level of the luminance signal of the display image of the nth frame when the processing by the noise canceling device according to embodiment 1 is performed when the input image data is moving image data.
In fig. 4A and 4B, the numerical values shown in fig. 4A and 4B show the levels of luminance signals, and (1) to (5) show unit regions (for example, one pixel). And, the nth frame shows the current frame, the N-1 th frame shows a previous frame of the current frame, and the N +1 th frame shows a next frame of the current frame.
The input image data is data of a moving image, and as shown in fig. 4A, in the unit area (4), the level of the luminance signal is 100 in the N-1 th frame and changes to 120 in the N-th frame. In the unit area (5), the level of the luminance signal is 100 in the (N-1) th frame and 140 in the (N) th frame.
Here, in the unit area (5), the difference in the level of the luminance signal between the N-1 th frame and the N-th frame is as large as 40, and therefore it is determined as a moving image. Therefore, the noise canceller 1 performs processing with K being equal to 0 in (equation 1). Accordingly, as shown in fig. 4B, in the unit area (5) of the nth frame, an image is displayed at a level 140 as the level of the luminance signal (NR output) of the input image after the processing.
In the unit region (4), the difference in the level of the luminance signal between the (N-1) th frame and the Nth frame is as small as 20, and therefore it is determined that the Nth frame includes noise. Therefore, the noise cancellation process is performed in (equation 1) assuming that K is 0.5. Accordingly, as shown in fig. 4B, in the unit region (4) of the nth frame, as the output signal after noise removal (NR output), an image is displayed at the level 110 of the luminance signal which is the average of the level 120 of the luminance signal including noise and the level 100 of the luminance signal not including noise.
Further, (c) a case where a difference in data occurs before and after compression and decompression processing when input image data is compressed and decompressed will be described. Fig. 5A is a diagram showing the levels of luminance signals of successive frames when a difference in data occurs before and after compression and decompression processing when input image data is compressed and decompressed. Fig. 5B is a diagram showing the levels of luminance signals of a display image of the nth frame when the processing by the noise canceling device according to embodiment 1 is performed when a difference in data occurs before and after the compression and decompression processing when the input image data is compressed and decompressed. Fig. 5C is a diagram showing the levels of luminance signals of a display image of the N +1 th frame when the processing by the noise canceling device according to embodiment 1 is performed when a difference in data occurs before and after the compression and decompression processing when the input image data is compressed and decompressed.
Further, in fig. 5A to 5C, the numerical values shown in fig. 5A to 5C also show the level of the luminance signal, and (1) to (5) also show the unit area (e.g., one pixel). And, the nth frame shows the current frame, the N-1 th frame shows a previous frame of the current frame, and the N +1 th frame shows a next frame of the current frame.
As shown in fig. 5A, the level of the luminance signal in the unit regions (3) and (4) is 100 in the N-1 th frame and 120 in the N-th frame and the N +1 th frame. Therefore, the images of the N-1 th frame, and the N +1 th frame are data of still images, but a difference in data is predicted to occur before and after the compression and decompression processes.
Here, in the unit regions (3) and (4), since the difference in the level of the luminance signal between the N-1 th frame and the nth frame is as small as 20, the processing is performed with K equal to 0.5 in (equation 1). Accordingly, as shown in fig. 5B, in the unit region (4) of the nth frame, when the input image data is compressed and decompressed at the level 110 of the luminance signal averaged between the level 120 of the luminance signal including noise and the level 100 of the luminance signal not including noise as the output signal of the noise removal section, a differential image of the data is generated before and after the compression and decompression processing.
However, since the accumulated value of the luminance signals input in the N-1 th frame, and the N +1 th frame is the same as 520, the still detection unit 16 determines that the input image data is a still image. Accordingly, the noise canceller 1 outputs the input image data as output image data (NR output), and outputs the luminance signal level 100 in the unit regions (3) and (4).
Therefore, even when a difference between data occurs before and after compression and decompression processing in the case of still video input, the difference can be reduced, and the influence on the display image can be reduced.
In the unit regions (1), (2), and (5), the luminance signal level does not change in the N-1 th frame, the N-th frame, and the N +1 th frame, and therefore, the level 100 of the luminance signal is output in the unit regions (1) and (2), and the level 120 of the luminance signal is output in the unit region (5).
According to the noise canceller 1 of the present embodiment, even when a difference between data occurs before and after compression and decompression processing, as described above, it is possible to display a still image without a sense of incongruity while suppressing the influence of the difference between the data.
[1-2. operation of noise cancellation device ]
The operation of the noise canceller 1 will be described below. Fig. 6 is a flowchart for explaining a processing procedure of the noise canceller 1 according to the present embodiment.
As shown in fig. 6, in the noise canceling device 1, the luminance signal accumulation unit 16a of the still detection unit 16 accumulates the luminance signal of the input image data during the effective picture period (step S10). The active video period is a period in which data of an image signal of one frame is input. For example, as shown in fig. 7 described later, the effective video period of the nth frame is from time t1 to t2, and the effective video period of the N +1 th frame is from time t3 to time t 4. The noise cancellation device 1 starts the accumulation of the luminance signal from the start of the effective video period, and ends the accumulation of the luminance signal when the effective video period ends (step S11). If the effective video period has not ended, the accumulation of the luminance signal is continued (no in step S11).
When the effective video period of one frame ends (yes in step S11), the comparing unit 16b compares the integrated value of the luminance signal accumulated in the luminance signal accumulating unit 16a with the integrated value of the luminance signal accumulated in the frame immediately preceding the current frame (step S12). When the cumulative value of the current frame matches the cumulative value of the previous frame (yes in step S13), the determination unit 16c determines to invalidate the NR effect (step S14). That is, the determination unit 16c causes the output selection unit 20 to select the input image data Vi to be output. When the current frame integrated value does not match the previous frame integrated value (no in step S13), the determination unit 16c determines that the NR effect is effective (step S15). That is, the determination unit 16c causes the output selection unit 20 to select the output noise-canceled data Vn.
Fig. 7 is a timing chart showing the operation of the noise canceller 1 according to the modification of the present embodiment. As shown in fig. 7, when the noise cancellation device 1 starts the active video period of the nth frame at time t1, the accumulation of the luminance signal in the nth frame starts. Then, the noise cancellation device 1 ends the accumulation of the luminance signal in the nth frame at time t 2.
Next, when the active video period of the N +1 th frame starts at time t3, the noise cancellation device 1 starts accumulation of the luminance signal in the N +1 th frame. Then, the noise cancellation device 1 ends the accumulation of the luminance signal in the N +1 th frame at time t 4. Then, the accumulated value of the luminance signal accumulated in the nth frame is held from time t3 to time t 4. When the accumulation of the luminance signal in the N +1 th frame is finished at time t4, the noise cancellation device 1 compares the accumulated value of the luminance signal in the N-th frame with the accumulated value of the luminance signal in the N +1 th frame.
When the difference between these cumulative values is 0 or smaller than a predetermined threshold value, the input image data is determined as still image data. In this case, the noise cancellation device 1 outputs the input image data Vi as the output image data Vo. When the difference in the accumulated values is greater than a predetermined threshold value, the input image data is determined to be moving image data. In this case, the noise cancellation device 1 outputs the noise cancellation data Vn as the output image data Vo.
Note that, although not shown in the drawing, the accumulated value of the luminance signal accumulated in the N-1 th frame and the accumulated value of the luminance signal accumulated in the N-th frame are compared during the period from time t2 to t 3.
[1-3. Effect, etc. ]
According to the noise canceling device 1 configured as described above, it is detected whether or not the input image data is still image data, and if the input image data is still image data, the input image data is output, and if the input image data is not still image data, the noise canceling data is output. Therefore, for data of a still image, data compression, data decompression, and noise removal are not performed, and the input data is output as it is, and therefore, a difference of data based on the processing of data compression, data decompression, and noise removal is not generated. Accordingly, a still image without a sense of incongruity can be displayed while suppressing the influence of the difference of the data.
(modification of embodiment 1)
Fig. 8 is a flowchart showing a processing procedure of the noise canceller 1 according to the modification of embodiment 1.
In the noise cancellation device 1 according to embodiment 1 described above, the noise cancellation unit 10 validates or invalidates the NR effect based on the determination made by the determination unit 16c, but the noise cancellation unit 10 may perform control to reduce or increase the NR effect based on the determination made by the determination unit 16 c.
That is, as shown in fig. 8, when the determination unit 16c determines that the integrated value of the luminance signal of the current frame matches the integrated value of the luminance signal of the previous frame (yes in step S13), the noise cancellation unit 10 performs control to reduce the NR effect (step S24). For example, the noise canceller 10 reduces the value of K from 0.5 to 0.3. Accordingly, the mixing ratio of the input image data Vi and the noise canceling data Vn can be changed, and an image with a reduced NR effect can be output.
When the determination unit 16c determines that the integrated value of the luminance signal of the current frame does not match the integrated value of the luminance signal of the previous frame (no in step S13), the noise cancellation unit 10 performs control to improve the NR effect (step S25). For example, the noise canceller 10 increases the value of K from 0.5 to 0.7. Accordingly, the mixing ratio of the input image data Vi and the noise canceling data Vn can be changed, and an image with an improved NR effect can be output.
(embodiment mode 2)
[2-1. Structure and operation of noise canceller ]
Next, a noise canceling system and a noise canceling device 100 according to embodiment 2 will be described. The noise canceller 100 according to the present embodiment is different from the noise canceller 1 according to embodiment 1 in that it includes an input selector 120 that switches signal data to be input to the noise canceller 110.
Fig. 9 is a block diagram showing the configuration of the noise canceller 100 according to the present embodiment.
As shown in fig. 9, the noise cancellation device 100 includes a noise cancellation unit 110, a motion detection unit 11, a data compression unit 13, a data decompression unit 14, a still detection unit 16, and an input selection unit 120. The noise canceller 100 is connected to a frame memory 2 provided outside the noise canceller 100. The configurations of the noise canceling unit 110, the motion detecting unit 11, the data compressing unit 13, the data decompressing unit 14, and the still detecting unit 16 are the same as those of the noise canceling unit 10, the motion detecting unit 11, the data compressing unit 13, the data decompressing unit 14, and the still detecting unit 16 shown in embodiment 1, and therefore, detailed description thereof is omitted. The noise removal unit 110 and the motion detection unit 11 are configured to remove noise using a frame delay.
The noise canceller 100 does not include the output selection unit 20 included in the noise canceller 1 according to embodiment 1. Further, in the noise canceling device 100, the output data output from the still detection unit 16 is input to the input selection unit 120.
The input selector 120 is a selector that selects the signal data input to the noise canceller 110 based on the detection result of the stationary detector 16. The input selector 120 is, for example, a switch for switching a signal path through which the input image data Vi is transmitted and a signal path through which the noise cancellation data Vn is transmitted, and connecting the signal paths to the noise canceller 110.
Specifically, when the still detection unit 16 detects that the input image data Vi is a still image, the path is switched so that the input image data Vi is input to the noise cancellation unit 110.
When the still detection unit 16 detects that the input image data Vi is a still image, the input selection unit 120 selects a signal path so that the input image data Vi is input to the noise cancellation unit 110 based on the output result from the determination unit 16c of the still detection unit 16. Accordingly, the input image data is input to the noise cancellation unit 110 as it is.
When the still detection unit 16 detects that the input image data Vi is not a still image, the input selection unit 120 selects a signal path so that the noise cancellation data Vn whose noise has been cancelled by the noise cancellation unit 10 in the previous frame is input to the noise cancellation unit 110 based on the output result from the determination unit 16c of the still detection unit 16. Accordingly, the noise removing unit 110 inputs the noise removing data Vn of the previous frame to the noise removing unit 110 as data of the current frame.
The input image data Vi or the noise removal data Vn input to the noise removal unit 110 is subjected to noise removal processing in the noise removal unit 110 by equation (1) and output as the noise removal data Vn. The noise cancellation data Vn is output from the noise cancellation device 100 as output image data Vo.
The processing procedure of the noise canceller 100 is the same as that of the noise canceller 1 described in embodiment 1 and the modification of embodiment 1.
[2-2. Effect, etc. ]
According to the noise canceling device 1 configured as described above, it is detected whether or not the input image data is still image data, and when the input image data is still image data, the noise canceling device cancels the noise from the input image data and outputs the noise cancelled data, and when the input image data is not still image data, the noise canceling device cancels the noise from the decompressed data and outputs the noise cancelled data. Therefore, data compression and data decompression are not performed on the data of the still image, and therefore, generation of a difference in data by the processing of data compression and data decompression can be suppressed. Accordingly, a still image without a sense of incongruity can be displayed.
(other embodiments)
The noise canceller according to the aspect of the present disclosure has been described above with reference to the embodiments and the like, but the present disclosure is not limited to the embodiments. For example, another embodiment in which the constituent elements described in the present disclosure are arbitrarily combined and implemented with several other constituent elements excluded may be adopted as the embodiment of the present disclosure. Further, a modification example in which various modifications that may occur to those skilled in the art are performed on the above-described embodiment without departing from the spirit of the present disclosure, that is, the meaning indicated by the words described in the embodiments, is also included in the present disclosure.
For example, as shown in fig. 10 and 11, a device such as a display device or a recording and reproducing device may be provided with the noise canceling device 1 described in the above embodiment. The same applies to the noise canceller 1 according to the modification of embodiment 1 and the noise canceller 100 according to embodiment 2.
Fig. 10 is a block diagram showing the configuration of a display device using the noise canceling device 1 according to embodiment 1. The display device 200 shown in fig. 10 includes an HDMI (registered trademark) 201, a tuner 202, a switching unit 205, a noise cancellation device 1, a resolution conversion unit 210, an image quality adjustment unit 220, a display timing control unit 230, and a monitor 240.
An external video signal is input to HDMI (registered trademark) 201, and an antenna input signal is input to a tuner 202. The switching unit 205 switches the input external video signal or the antenna input signal so that the input external video signal or the antenna input signal is input to the noise cancellation device 1.
The above-described noise cancellation process is performed on the external video signal or the antenna input signal input to the noise cancellation device 1. Further, the resolution conversion unit 210 and the image quality adjustment unit 220 adjust the resolution and the image quality of the noise-removed data subjected to the noise-removal processing, respectively. Further, the noise-removed data after the adjustment of the resolution and the image quality is displayed on the monitor 240 with the display timing controlled by the display timing control unit 230.
Accordingly, the display device 200 can display a still image without a sense of incongruity on the monitor 240.
Fig. 11 is a block diagram showing the configuration of a video recording and reproducing apparatus using the noise canceling device 1 according to embodiment 1. The recording/reproducing device 300 shown in fig. 11 includes an HDMI (registered trademark) 301, a tuner 302, a disc reproducing unit 303, a switching unit 305, a noise canceling device 1, a resolution converting unit 310, and an image quality adjusting unit 320.
An external video signal is input to the HDMI (registered trademark) 301, and an antenna input signal is input to the tuner 302. Video signals from recording media such as BD, DVD, and SD are input to the disc playback unit 303. The switching unit 205 switches the input external video signal, antenna input signal, or video signal so that the input external video signal, antenna input signal, or video signal is input to the noise cancellation device 1.
The noise cancellation process described above is performed on the external video signal, the antenna input signal, or the video signal input to the noise cancellation device 1. Further, the resolution conversion unit 210 and the image quality adjustment unit 220 adjust the resolution and the image quality of the noise-removed data subjected to the noise-removal processing, and output the noise-removed data from the recording and reproducing device 300 to another device such as an external display device.
Accordingly, the recording and reproducing apparatus 300 can display a still image without a sense of incongruity on an external display device or the like.
The noise canceling device, the noise canceling method, and the still detection method according to the present disclosure have been described above with reference to the embodiments, but the present disclosure is not limited to the embodiments. Various modifications of the present embodiment, which may occur to those skilled in the art, and combinations of different embodiments of the present invention are also within the scope of the present disclosure, as long as they do not depart from the spirit of the present disclosure.
For example, the still image detection unit detects a still image from a luminance signal of one frame, but may detect a still image from a signal other than the luminance signal. For example, instead of the luminance signal accumulation unit, a signal accumulation unit that accumulates another signal using at least a luminance signal such as an RGB signal or a YUV signal may be provided, and the other signal may be accumulated and compared.
The motion detection unit may change the value of the coefficient K to cause the noise removal unit to perform the noise removal processing, or may not cause the noise removal unit to perform the noise removal processing.
In the present disclosure, each component of the noise canceller may be implemented by dedicated hardware or by executing a software program suitable for each component. Each of the components may be realized by a program execution unit such as a CPU or a processor reading out and executing a software program recorded on a recording medium such as a hard disk or a semiconductor memory. Furthermore, the present invention may be realized by an LSI that is an integrated circuit, a dedicated circuit, a general-purpose processor, an FPGA, and a reconfigurable processor that can reconfigure connection and setting of circuit cells within the LSI.
The noise canceling device according to the present disclosure can be applied to a display device, a video recording and reproducing device, and the like that display both moving images and still images.
Description of the symbols
1. 100 noise eliminating device
2-frame memory
10. 110 noise elimination part
11 motion detecting part
13 data compression unit
14 data decompression part
16 static detection part
16a luminance signal accumulating section (signal accumulating section)
16b comparing part
16c determining part
20 output selection part
120 input selection unit
200 display device
201. 301 HDMI (registered trademark)
202. 302 tuner
205. 305 switching part
210. 310 resolution conversion unit
220. 320 image quality adjusting part
230 display timing control unit
240 monitor
300 video recording/reproducing apparatus
303 disc reproducing part

Claims (8)

1. A noise eliminating apparatus for eliminating noise from input image data,
the noise cancellation device includes:
a noise removal unit configured to perform noise removal on the input image data for each frame to generate noise-removed data;
a data compression unit configured to compress the noise-removed data to generate compressed data;
a data decompression unit configured to decompress the compressed data to generate decompressed data;
a still detection unit that detects whether or not the input image data is still image data; and
an output selection section that selects the input image data or the noise removal data as output image data based on a detection result of the still detection section,
in the presence of a first frame and a second frame subsequent to the first frame,
in the second frame, the noise removal unit removes noise from the input image data of the second frame based on the input image data of the second frame and the decompressed data of the first frame to generate the noise-removed data,
in the second frame, the output selection section,
selecting the input image data as the output image data in a case where it is detected that the input image data is data of a still image,
in a case where it is detected that the input image data is not data of a still image, the noise removal data is selected as the output image data.
2. The noise cancellation device according to claim 1,
the stationary detection unit includes:
a signal accumulation unit that accumulates a luminance signal included in the input image data for each of the frames;
a comparison section that compares an accumulated value of the luminance signal in the second frame with an accumulated value of the luminance signal in the second frame; and
and a determination unit configured to determine, as the output image data, either the input image data or the noise-removed data based on a comparison result of the comparison unit.
3. A noise eliminating apparatus for eliminating noise from input image data,
the noise cancellation device includes:
a noise removal unit configured to perform noise removal on the input image data for each frame to generate noise-removed data;
a data compression unit configured to compress the noise-removed data to generate compressed data;
a data decompression unit configured to decompress the compressed data to generate decompressed data;
a still detection unit that detects whether or not the input image data is still image data; and
an input selecting section that selects the input image data or the decompressed data as data input to the noise canceling section, based on a detection result of the still detecting section;
in the presence of a first frame and a second frame subsequent to the first frame,
in the second frame, the noise removal unit removes noise from the input image data of the second frame based on the input image data of the second frame and the decompressed data of the first frame to generate the noise-removed data,
in the second frame, the input selecting section,
selecting the input image data as data to be input to the noise removing section when it is detected that the input image data is data of a still image,
when it is detected that the input image data is not data of a still image, the decompressed data is selected as data to be input to the noise canceling unit.
4. The noise cancellation device according to claim 3,
the stationary detection unit includes:
a signal accumulation unit that accumulates a luminance signal included in the input image data for each of the frames;
a comparison section that compares an accumulated value of the luminance signal in the first frame with an accumulated value of the luminance signal in the second frame; and
and a determination unit configured to determine, as data to be input to the noise removal unit, either the input image data or the noise removal data, based on a comparison result of the comparison unit.
5. The noise canceling device of claim 2 or 4,
the comparison unit determines the input image data in the second frame as data of a still image when the integrated value of the luminance signal in the first frame is the same as the integrated value of the luminance signal in the second frame.
6. The noise cancellation device according to any one of claims 1 to 5,
the noise removing unit mixes the input image data of the second frame and the decompressed data of the first frame at a predetermined ratio to perform noise removal on the input image data of the second frame.
7. A noise elimination method for eliminating noise from input image data,
in the presence of a first frame and a second frame subsequent to the first frame,
noise-canceling the input image data of the first frame to generate noise-canceled data,
compressing the noise-canceled data to generate compressed data,
decompressing the compressed data to generate decompressed data,
in the second frame of the video sequence, the first frame is a frame,
noise-canceling the input image data of the second frame based on the input image data of the second frame and the decompressed data of the first frame to generate the noise-canceled data,
detecting whether the input image data is data of a still image,
outputting the input image data in a case where it is detected that the input image data is data of a still image,
and outputting the noise removal data when it is detected that the input image data is not data of a still image.
8. A method for detecting a static state of a vehicle,
the luminance signals included in the input image data of the first frame are accumulated,
the luminance signals included in the input image data of the second frame are accumulated,
determining that the input image data in the second frame is stationary in a case where an accumulated value of the luminance signal in the first frame is the same as an accumulated value of the luminance signal in the second frame.
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